Artificial Intelligence
Showing 36 of 177 projects
A Ruby gem for building LLM-powered applications with a unified interface for multiple providers, RAG systems, and AI assistants.
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
An open-source Python toolkit providing a comprehensive collection of algorithms for interpreting and explaining machine learning models and datasets.
An open-source, near photo-realistic 3D simulation platform for training and evaluating embodied AI agents.
An autonomous agent framework for Elixir, built for distributed, multi-agent systems and dynamic workflows.
A curated checklist of state-of-the-art research materials (datasets, papers, code) for interaction-aware trajectory prediction.
A free and open-source C++ framework for creating AI agents that play StarCraft: Brood War.
A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.
A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.
A curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
A neural network built in Swift Playgrounds that learns to recognize hand-drawn emojis from 8x8 pixel images.
A fast, extensible, multi-platform C# library for implementing genetic algorithms in .NET applications.
A declarative intent-driven platform orchestrator for building Internal Developer Platforms (IDPs).
A high-performance Java AI framework for games, featuring steering behaviors, pathfinding, behavior trees, and finite state machines.
A Python toolbox for explainable AI, providing tools for data analysis, model evaluation, and bias mitigation in machine learning.
A flexible Python framework for fast network flow data analysis, offering encrypted application identification, statistical feature extraction, and extensibility via plugins.
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
A curated collection of datasets, APIs, and tools for applying artificial intelligence and data mining to video games.
A Ruby machine learning library with a Scikit-Learn-like interface for classification, regression, clustering, and dimensionality reduction.
An AI-powered terminal assistant that uses OpenAI ChatGPT to generate and run commands from natural language descriptions.
A PyTorch implementation of neural style transfer, combining the content of one image with the artistic style of another.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A lightweight Ruby playground with clean implementations of core AI algorithms for learning and experimentation.
A lightweight Ruby playground with clean, readable implementations of core AI algorithms for learning and experimentation.
A curated list of proven AI use cases that generate business value across departments and industries.
A modular multi-modal transactional database for AI and semantic search, replacing MongoDB, Neo4J, and Elastic with a single ACID solution.
A Python library implementing nature-inspired meta-heuristic optimization algorithms for solving complex problems.
An AI coding agent that lives in your browser, letting you edit frontend source files by clicking elements and describing changes in plain English.
A blockchain framework for hosting and collaboratively training publicly available machine learning models with free predictions.
A Python framework for gradient-free optimization, featuring common algorithms like genetic algorithms and simulated annealing.
A Unity SDK for integrating IBM Watson AI services like speech, language, and vision into games and applications.
A machine learning integrations library for TypeDB, enabling graph algorithms and Graph Neural Networks on strongly-typed graph data.
A curated collection of chess-related resources including libraries, tools, websites, and educational materials.
Ruby gem providing bindings to FANN (Fast Artificial Neural Network) for building and training neural networks.
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